Ably
Pusher
Socket.io
PubNub
Firebase
Chat by Stream
Liveblocks
Tip Tap
Tempreon
ChainMemory
Memori
Mem0
Agentmemory
TheSecondBrain.dev
cognee
VATES.jp
We help teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure.
Teams like HubSpot and Intercom use Ably to avoid the cost and complexity of building and operating realtime systems, while still getting predictable performance at serious scale, handling 2T+ API operations per month. Ablyโs Pub/Sub, Chat, and AI Transport products are unified by design, with developer-friendly APIs and SDKs that integrate across your stack.
Tempreon is a personal memory layer for your AI tools, connected over MCP. Your knowledge, preferences, and decisions travel across Claude, ChatGPT, Cursor, and any MCP-capable client โ captured once, available everywhere. It learns how you actually work instead of just storing what you said.
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Tempreon's answer:
Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you โ your context, your preferences, your judgment โ gets rebuilt from scratch inside every tool, and lost every time you move.
We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon โ like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.
The through-line is custody: the model is temporary, your memory shouldn't be.
Tempreon's answer:
Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem โ your problem is re-explaining yourself to each of them and losing everything when you switch.
The choice is really about who the memory is for. Ours is for you.
Tempreon's answer:
Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use โ Claude, ChatGPT, Cursor, anything MCP-capable.
Tempreon's answer:
Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.
If you've ever pasted the same context into Claude and ChatGPT in the same week โ you're the audience.
Tempreon's answer:
The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.
Based on our record, Ably seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
During this weekโs AWS us-east-1 outage, Ably maintained full service continuity with no customer impact. This was our multi-region architecture working exactly as designed; error rates were negligibly low and unchanged throughout. Any additional round trip latency was limited to 12ms, which is below the typical variance in any client-to-endpoint connection, and well below our 40โ50ms global median; this is... - Source: dev.to / 10 months ago
Services like Pusher and Ably are experts in real-time messaging. They provide robust APIs for pub/sub channels, allowing you to broadcast events to clients reliably. - Source: dev.to / 12 months ago
Ably is a real-time infrastructure platform that focuses on delivering low-latency, reliable messaging across global distributed systems. It's designed for developers building event-driven applications, including chat, but also supports broader use cases like live dashboards, GPS tracking, and collaborative tools. - Source: dev.to / about 1 year ago
For our web socket-based application, weโll be using Next.js and Ably, a service that allows us to easily integrate and manage real-time capabilities in our apps powered by web socket. - Source: dev.to / over 1 year ago
Ably offers various solutions for developers, with their most popular being realtime messaging based on the pub/sub model. When you publish a message to a channel, all devices connected to that channel receive it instantly. - Source: dev.to / over 1 year ago
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
Socket.io - Realtime application framework (Node.JS server)
Memori - Persistent memory from agent trace, not just conversation
PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.
Mem0 - Your private, local memory layer for all AI tools